Implications of Continual Learning for LLM Agents: Introduction

Many people think that continual learning (CL) is a key missing capability of LLM systems, and we think its development could have huge implications for the capabilities and safety of AI agents. Despite this, several important questions about CL remain underexplored:What counts as continual learning? Through what pathways might LLM agents acquire CL capabilities? Which limitations of current agents would effective CL mitigate?How might CL affect safety and alignment? Which threat models do we ne...